Apply on Employer Site

Freudenberg Sealing Technologies · 1 day ago

Data Engineer

Plymouth, MI

Full-time

Hybrid

Mid Level

Freudenberg Sealing Technologies is a leading producer of advanced sealing technologies for automotive and general industries. They are seeking a Data Engineer to design and build data pipelines, optimize cloud data infrastructure, and ensure data quality and security while collaborating with various stakeholders.

AutomotiveMechanical EngineeringPharmaceutical

Responsibilities

Design and Build Data Pipelines: Develop, implement, and maintain robust, scalable data pipelines and ETL processes to integrate data from diverse sources

Cloud Data Infrastructure: Collaborate with IT and business teams to set up and optimize advanced cloud-based data infrastructure, supporting AI-driven models and analytics

Data Transformation & Modeling: Create algorithms and data models to convert raw data into actionable insights, aligning with business objectives

Data Quality & Security: Ensure data integrity, quality, and security across all systems, implementing validation, backup, recovery, and disaster recovery plans

Pipeline Optimization: Continuously evaluate and enhance data systems and processes for improved efficiency, reliability, and performance (including query tuning and indexing)

Migration & Modernization: Lead migration of on-premises data systems to cloud solutions, focusing on Azure and modern data architectures (e.g., real-time processing, data warehousing)

Collaboration: Work closely with data scientists, analysts, and other stakeholders to meet organizational data needs and drive strategic data management projects

Qualification

PythonSQLAzureDatabricksData FactoryCI/CD pipelinesData securityInnovationDrive & ExecutionCommunicationCollaboration

Required

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field

Proficiency in Python and SQL; experience with both relational and non-relational databases (MS SQL, Azure SQL Database)

Hands-on experience with Databricks, Azure Data Factory, and modern data warehouse tools

Experience with CI/CD pipelines, automation for data deployments, and infrastructure as code (e.g., Terraform)

Strong understanding of data security, backup, and recovery best practices

Knowledge of cloud infrastructure management, particularly on the Azure platform

Communication & Collaboration: Communicates clearly and concisely, while serving as a sparring partner to internal/external stakeholders. Fosters teamwork between employees and across the organization

Value for Customers: Drives a customer-oriented business strategy and provides indispensable support to deliver successful outcomes

Innovation: Envisions the impact of potential future trends and proactively drives necessary changes. Encourages creativity and initiative from employees

Drive & Execution: Inspires and motivates self and others, while taking full accountability for actions and results